storing-and-querying-vectors
byaws· 47 skills
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
How to install storing-and-querying-vectors?
aws/agent-toolkit-for-aws/storing-and-querying-vectors
$npx -y skills add aws/agent-toolkit-for-aws --skill storing-and-querying-vectorsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aws/agent-toolkit-for-aws" --skill "aws/agent-toolkit-for-aws/storing-and-querying-vectors"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aws/agent-toolkit-for-aws" that are relevant to the current task. Run `npx skills add "https://github.com/aws/agent-toolkit-for-aws"` and select the relevant skills, then follow their instructions.
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